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            <td width="35%" class="headerValue"><a href="../../../index.html">top level</a> - <a href="index.html">src/caffe/layers</a> - reshape_layer.cpp<span style="font-size: 80%;"> (source / <a href="reshape_layer.cpp.func-sort-c.html">functions</a>)</span></td>
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            <td class="headerItem">Test:</td>
            <td class="headerValue">code analysis</td>
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            <td class="headerItem">Lines:</td>
            <td class="headerCovTableEntry">2</td>
            <td class="headerCovTableEntry">54</td>
            <td class="headerCovTableEntryLo">3.7 %</td>
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            <td class="headerItem">Date:</td>
            <td class="headerValue">2020-09-11 22:50:33</td>
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            <td class="headerItem">Functions:</td>
            <td class="headerCovTableEntry">2</td>
            <td class="headerCovTableEntry">8</td>
            <td class="headerCovTableEntryLo">25.0 %</td>
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            <td class="headerValueLeg">            Lines:
            <span class="coverLegendCov">hit</span>
            <span class="coverLegendNoCov">not hit</span>
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<pre class="sourceHeading">          Line data    Source code</pre>
<pre class="source">
<a name="1"><span class="lineNum">       1 </span>            : #include &lt;vector&gt;</a>
<span class="lineNum">       2 </span>            : 
<span class="lineNum">       3 </span>            : #include &quot;caffe/layers/reshape_layer.hpp&quot;
<span class="lineNum">       4 </span>            : 
<span class="lineNum">       5 </span>            : namespace caffe {
<span class="lineNum">       6 </span>            : 
<span class="lineNum">       7 </span>            : template &lt;typename Dtype&gt;
<span class="lineNum">       8 </span><span class="lineNoCov">          0 : void ReshapeLayer&lt;Dtype&gt;::LayerSetUp(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom,</span>
<span class="lineNum">       9 </span>            :     const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top) {
<span class="lineNum">      10 </span><span class="lineNoCov">          0 :   CHECK_NE(top[0], bottom[0]) &lt;&lt; this-&gt;type() &lt;&lt; &quot; Layer does not &quot;</span>
<span class="lineNum">      11 </span>            :       &quot;allow in-place computation.&quot;;
<span class="lineNum">      12 </span><span class="lineNoCov">          0 :   inferred_axis_ = -1;</span>
<span class="lineNum">      13 </span>            :   copy_axes_.clear();
<span class="lineNum">      14 </span>            :   const BlobShape&amp; top_blob_shape = this-&gt;layer_param_.reshape_param().shape();
<span class="lineNum">      15 </span>            :   const int top_num_axes = top_blob_shape.dim_size();
<span class="lineNum">      16 </span><span class="lineNoCov">          0 :   constant_count_ = 1;</span>
<span class="lineNum">      17 </span><span class="lineNoCov">          0 :   for (int i = 0; i &lt; top_num_axes; ++i) {</span>
<span class="lineNum">      18 </span><span class="lineNoCov">          0 :     const int top_dim = top_blob_shape.dim(i);</span>
<span class="lineNum">      19 </span><span class="lineNoCov">          0 :     if (top_dim == 0) {</span>
<span class="lineNum">      20 </span><span class="lineNoCov">          0 :       copy_axes_.push_back(i);</span>
<span class="lineNum">      21 </span><span class="lineNoCov">          0 :     } else if (top_dim == -1) {</span>
<span class="lineNum">      22 </span><span class="lineNoCov">          0 :       CHECK_EQ(inferred_axis_, -1) &lt;&lt; &quot;new shape contains multiple &quot;</span>
<span class="lineNum">      23 </span>            :           &lt;&lt; &quot;-1 dims; at most a single (1) value of -1 may be specified&quot;;
<span class="lineNum">      24 </span><span class="lineNoCov">          0 :       inferred_axis_ = i;</span>
<span class="lineNum">      25 </span>            :     } else {
<span class="lineNum">      26 </span><span class="lineNoCov">          0 :       constant_count_ *= top_dim;</span>
<span class="lineNum">      27 </span>            :     }
<span class="lineNum">      28 </span>            :   }
<span class="lineNum">      29 </span><span class="lineNoCov">          0 : }</span>
<span class="lineNum">      30 </span>            : 
<span class="lineNum">      31 </span>            : template &lt;typename Dtype&gt;
<span class="lineNum">      32 </span><span class="lineNoCov">          0 : void ReshapeLayer&lt;Dtype&gt;::Reshape(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom,</span>
<span class="lineNum">      33 </span>            :     const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top) {
<span class="lineNum">      34 </span>            :   const int input_start_axis = this-&gt;layer_param_.reshape_param().axis();
<span class="lineNum">      35 </span>            :   const int start_axis = (input_start_axis &gt;= 0) ? input_start_axis :
<span class="lineNum">      36 </span><span class="lineNoCov">          0 :       bottom[0]-&gt;num_axes() + input_start_axis + 1;</span>
<span class="lineNum">      37 </span><span class="lineNoCov">          0 :   CHECK_GE(start_axis, 0) &lt;&lt; &quot;axis &quot; &lt;&lt; input_start_axis &lt;&lt; &quot; out of range&quot;;</span>
<span class="lineNum">      38 </span><span class="lineNoCov">          0 :   CHECK_LE(start_axis, bottom[0]-&gt;num_axes()) &lt;&lt; &quot;axis &quot; &lt;&lt; input_start_axis</span>
<span class="lineNum">      39 </span><span class="lineNoCov">          0 :       &lt;&lt; &quot; out of range for &quot; &lt;&lt; bottom[0]-&gt;num_axes() &lt;&lt; &quot;-D input blob&quot;;</span>
<span class="lineNum">      40 </span>            :   const int num_axes = this-&gt;layer_param_.reshape_param().num_axes();
<span class="lineNum">      41 </span><span class="lineNoCov">          0 :   CHECK_GE(num_axes, -1) &lt;&lt; &quot;num_axes must be &gt;= 0, or -1 for all&quot;;</span>
<span class="lineNum">      42 </span>            :   const int end_axis =
<span class="lineNum">      43 </span><span class="lineNoCov">          0 :       (num_axes == -1) ? bottom[0]-&gt;num_axes() : (start_axis + num_axes);</span>
<span class="lineNum">      44 </span><span class="lineNoCov">          0 :   CHECK_LE(end_axis, bottom[0]-&gt;num_axes())</span>
<span class="lineNum">      45 </span>            :       &lt;&lt; &quot;end_axis = axis + num_axes is out of range&quot;;
<span class="lineNum">      46 </span><span class="lineNoCov">          0 :   const int num_axes_replaced = end_axis - start_axis;</span>
<span class="lineNum">      47 </span><span class="lineNoCov">          0 :   const int num_axes_retained = bottom[0]-&gt;num_axes() - num_axes_replaced;</span>
<span class="lineNum">      48 </span>            :   const BlobShape&amp; top_blob_shape = this-&gt;layer_param_.reshape_param().shape();
<span class="lineNum">      49 </span>            :   const int num_new_axes = top_blob_shape.dim_size();
<span class="lineNum">      50 </span><span class="lineNoCov">          0 :   vector&lt;int&gt; top_shape(num_axes_retained + num_new_axes);</span>
<span class="lineNum">      51 </span>            :   int top_shape_index = 0;
<span class="lineNum">      52 </span><span class="lineNoCov">          0 :   for (int i = 0; i &lt; start_axis; ++i) {</span>
<span class="lineNum">      53 </span><span class="lineNoCov">          0 :     top_shape[top_shape_index++] = bottom[0]-&gt;shape(i);</span>
<span class="lineNum">      54 </span>            :   }
<span class="lineNum">      55 </span><span class="lineNoCov">          0 :   for (int i = 0; i &lt; num_new_axes; ++i) {</span>
<span class="lineNum">      56 </span><span class="lineNoCov">          0 :     top_shape[top_shape_index++] = top_blob_shape.dim(i);</span>
<span class="lineNum">      57 </span>            :   }
<span class="lineNum">      58 </span><span class="lineNoCov">          0 :   for (int i = end_axis; i &lt; bottom[0]-&gt;num_axes(); ++i) {</span>
<span class="lineNum">      59 </span><span class="lineNoCov">          0 :     top_shape[top_shape_index++] = bottom[0]-&gt;shape(i);</span>
<span class="lineNum">      60 </span>            :   }
<span class="lineNum">      61 </span><span class="lineNoCov">          0 :   CHECK_EQ(top_shape_index, top_shape.size());</span>
<span class="lineNum">      62 </span><span class="lineNoCov">          0 :   for (int i = 0; i &lt; copy_axes_.size(); ++i) {</span>
<span class="lineNum">      63 </span><span class="lineNoCov">          0 :     const int copy_axis_index = copy_axes_[i];</span>
<span class="lineNum">      64 </span><span class="lineNoCov">          0 :     CHECK_GT(bottom[0]-&gt;num_axes(), start_axis + copy_axis_index)</span>
<span class="lineNum">      65 </span>            :         &lt;&lt; &quot;new shape contains a 0, but there was no corresponding bottom axis &quot;
<span class="lineNum">      66 </span>            :         &lt;&lt; &quot;to copy&quot;;
<span class="lineNum">      67 </span><span class="lineNoCov">          0 :     top_shape[start_axis + copy_axis_index] =</span>
<span class="lineNum">      68 </span>            :         bottom[0]-&gt;shape(start_axis + copy_axis_index);
<span class="lineNum">      69 </span>            :   }
<span class="lineNum">      70 </span><span class="lineNoCov">          0 :   if (inferred_axis_ &gt;= 0) {</span>
<span class="lineNum">      71 </span>            :     // A -1 dim was specified; infer the correct dimension by computing the
<span class="lineNum">      72 </span>            :     // product of the other dimensions.
<span class="lineNum">      73 </span><span class="lineNoCov">          0 :     int explicit_count = constant_count_;</span>
<span class="lineNum">      74 </span><span class="lineNoCov">          0 :     explicit_count *= bottom[0]-&gt;count(0, start_axis);</span>
<span class="lineNum">      75 </span><span class="lineNoCov">          0 :     explicit_count *= bottom[0]-&gt;count(end_axis);</span>
<span class="lineNum">      76 </span><span class="lineNoCov">          0 :     for (int i = 0; i &lt; copy_axes_.size(); ++i) {</span>
<span class="lineNum">      77 </span><span class="lineNoCov">          0 :       const int copy_axis_index = copy_axes_[i];</span>
<span class="lineNum">      78 </span><span class="lineNoCov">          0 :       explicit_count *= top_shape[start_axis + copy_axis_index];</span>
<span class="lineNum">      79 </span>            :     }
<span class="lineNum">      80 </span><span class="lineNoCov">          0 :     CHECK_EQ(0, bottom[0]-&gt;count() % explicit_count) &lt;&lt; &quot;bottom count (&quot;</span>
<span class="lineNum">      81 </span><span class="lineNoCov">          0 :         &lt;&lt; bottom[0]-&gt;count() &lt;&lt; &quot;) must be divisible by the product of &quot;</span>
<span class="lineNum">      82 </span><span class="lineNoCov">          0 :         &lt;&lt; &quot;the specified dimensions (&quot; &lt;&lt; explicit_count &lt;&lt; &quot;)&quot;;</span>
<span class="lineNum">      83 </span><span class="lineNoCov">          0 :     const int inferred_dim = bottom[0]-&gt;count() / explicit_count;</span>
<span class="lineNum">      84 </span><span class="lineNoCov">          0 :     top_shape[start_axis + inferred_axis_] = inferred_dim;</span>
<span class="lineNum">      85 </span>            :   }
<span class="lineNum">      86 </span><span class="lineNoCov">          0 :   top[0]-&gt;Reshape(top_shape);</span>
<span class="lineNum">      87 </span><span class="lineNoCov">          0 :   CHECK_EQ(top[0]-&gt;count(), bottom[0]-&gt;count())</span>
<span class="lineNum">      88 </span>            :       &lt;&lt; &quot;output count must match input count&quot;;
<span class="lineNum">      89 </span><span class="lineNoCov">          0 :   top[0]-&gt;ShareData(*bottom[0]);</span>
<span class="lineNum">      90 </span><span class="lineNoCov">          0 :   top[0]-&gt;ShareDiff(*bottom[0]);</span>
<span class="lineNum">      91 </span><span class="lineNoCov">          0 : }</span>
<span class="lineNum">      92 </span>            : 
<span class="lineNum">      93 </span>            : INSTANTIATE_CLASS(ReshapeLayer);
<a name="94"><span class="lineNum">      94 </span><span class="lineCov">          3 : REGISTER_LAYER_CLASS(Reshape);</span></a>
<span class="lineNum">      95 </span>            : 
<span class="lineNum">      96 </span><span class="lineCov">          3 : }  // namespace caffe</span>
</pre>
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